EDI survey
  • Main report
  • Codebook

On this page

  • Table
  • Major R packages used

Codebook

Equity, diversity, and inclusion in the PsychoPy community

Author

Patrick Bolger

Published

26 Oct 2023, 4:06 pm

Table

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Codebook table

Major R packages used

Package Version Citation
codebook 0.9.2 Arslan (2019)
grateful 0.2.4 Francisco Rodriguez-Sanchez & Connor P. Jackson (2023)
knitr 1.44 Xie (2014); Xie (2015); Xie (2023)
remotes 2.4.2.1 Csárdi et al. (2023)

References

Arslan, R. C. (2019). How to automatically document data with the codebook package to facilitate data re-use. Advances in Methods and Practices in Psychological Science, 2(2). https://doi.org/10.1177/2515245919838783
Csárdi, G., Hester, J., Wickham, H., Chang, W., Morgan, M., & Tenenbaum, D. (2023). remotes: R package installation from remote repositories, including “GitHub”. https://CRAN.R-project.org/package=remotes
Francisco Rodriguez-Sanchez, & Connor P. Jackson. (2023). grateful: Facilitate citation of r packages. https://pakillo.github.io/grateful/
Xie, Y. (2014). knitr: A comprehensive tool for reproducible research in R. In V. Stodden, F. Leisch, & R. D. Peng (Eds.), Implementing reproducible computational research. Chapman; Hall/CRC.
Xie, Y. (2015). Dynamic documents with R and knitr (2nd ed.). Chapman; Hall/CRC. https://yihui.org/knitr/
Xie, Y. (2023). knitr: A general-purpose package for dynamic report generation in r. https://yihui.org/knitr/